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Interactive analysis of time series
Proceedings of seventh international conference on APL - APL '75, 1975A great deal of data in business, economics, engineering and the natural sciences occur in the form of time series where observations are dependent and where the nature of this dependence is of interest in itself. The technics used in the analysis of such series of dependent observations is called time series analysis.The purpose is to build stochastic
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Time series analysis, forecasting and control
IEEE Transactions on Automatic Control, 1972Peter C. Young, S. Shellswell
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OUTLIER DIAGNOSTICS IN TIME SERIES ANALYSIS
Journal of Time Series Analysis, 1990Abstract.Cook's likelihood displacement is a convenient measure of the impact of a model perturbation on parameter estimates. A commonly used model perturbation in regression is the deletion of acase, or equation. A natural model perturbation in the time series context is the deletion of anobservation, or a group of observations.
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Physiological time-series analysis using approximate entropy and sample entropy.
American Journal of Physiology. Heart and Circulatory Physiology, 2000Joshua S. Richman, J. R. Moorman
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TIME SERIES ANALYSIS IN DREAM RESEARCH
Perceptual and Motor Skills, 2000The present study investigated the linear as well as nonlinear relationships between selected dream content scales and dream length. The results indicated that biases due to control solely for the linear components are almost negligible.
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Some remarks on the analysis of time-series
Biometrika, 1967Techniques involving the direct study of the spectrum when analyzing time-series are reviewed, and comments made on such topics as estimating the spectral density function, testing for mixed spectra, eliminating a trend, cross-spectral analysis, and non-normality.
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A Review on Outlier/Anomaly Detection in Time Series Data
ACM Computing Surveys, 2022Ane Blázquez-García +2 more
exaly
Time Series Analysis and Its Applications
Springer Texts in StatisticsR. Shumway, D. Stoffer
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A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
, 1989James D. Hamilton
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